If you’re an OSINT investigator or use OSINT in any of your work, it’s impossible to ignore Twitter as a collection source. Here’s how to get the most out of it by organizing your searches on a TweetDeck dashboard.
Trying to make social media monitoring more manageable? First Draft News has some tactics and tools to help journalists sort through the mire on Twitter and Facebook as well as the more edgy 4chan and wildly popular Reddit.
$8 billion in just a few hours earlier this year? It was because of a web scraper, a tool companies use—as do many data reporters. A web scraper is simply a computer program that reads the HTML code from webpages, and analyze it. With such a program, or “bot,” it’s possible to extract data and information from websites.
We’re back with another selection of web resources and reports that might be of interest to journalists around the world. On the list this week: new reports from the International Labour Organization, Congressional Research Service, and UK House of Commons; and tools to search domain ownership, load tweets into a spreadsheet, and search open data. Good hunting!
Search engines are an intrinsic part of the array of commonly used “open source” research tools. Together with social media, domain name look-ups and more traditional solutions such as newspapers, effective web searching will help you find vital information. Many people find that search engines often bring up disappointing results from dubious sources. A few tricks, however, can ensure that you corner the pages you are looking for, from sites you can trust. The same goes for searching social networks and other sources to locate people.
GIJN is excited to introduce Digital Digging, a new feature by acclaimed Internet search expert Henk van Ess. In this inaugural story, Henk sets sail to a world without selfies or cat pictures, showing readers how to stay on top of Twitter by changing their workflow. Here’s part one of a series of three.
As news stories break, journalists find themselves wanting to speak to members of the public. They could have witnessed an incident or may have been affected by an event. Their views count and they enhance our reports with a human angle. There are many ways to locate ordinary people in extraordinary circumstances, but we don’t always know how our approaches will be received, or indeed if our messages to them will be read at all. This is where Twitter comes into its own.
This intriguing graph depicts a network of 989 Twitter users whose tweets from January 13 to 24 contained the hashtag “#ddj” (data-driven journalism). We’re pleased to see that our site gijn.org was among the top domains and our data journalism resource page among the top URLs that appeared. This work is the brainchild of Marc Smith (@marc_smith), a sociologist of “computer-mediated collective action” who, among his varied activities, maps social media networks that reveal “the key people, groups, and topics discussed in a public conversation.”
